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Foreign national legislation on combating domestic violence

2024· article· en· W4403471954 on OpenAlexaboutno aff
A. K. Kukeyev

Bibliographic record

VenueVestnik of M Kozybayev North Kazakhstan University · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Human Rights and Reproductive Law
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationPolitical scienceLawBusiness

Abstract

fetched live from OpenAlex

This article examines the foreign experience of bringing to justice for domestic violence. Domestic violence definitely falls under the violation of a large number of internationally recognized human rights that the State is obliged to defend and protect: the right to life and physical integrity, the right not to be the object of bullying or cruel treatment, inhuman or degrading treatment, the right to equal protection from the law and freedom from discrimination based on gender and others. As we can see, the origins of gender inequality were determined primarily by cultural and religious factors, as well as the peculiarities of the legal system in different countries. As a result, domestic violence has been recognized for granted almost all over the world for a long time and for a long time, and in some sources of social norms it was even recorded in legislative forms. Violence against women and domestic violence can no longer be considered a private matter, and that States must take a firm stand and take measures to prevent violence, protect victims and punish perpetrators. This issue has become extremely relevant at the present time, when the Republic of Kazakhstan is becoming an almost full-fledged participant in global integration processes, supporting the idea of prioritizing the rights and freedoms of man and citizen. The paper provides a comparative analysis of the legislation of the United States of America, Canada, Germany, Austria and France. It is concluded that the positive foreign experience in the field of prevention of domestic violence, which can be applied in Kazakhstan, should be: the construction and creation of social institutions whose activities are aimed at preventing domestic violence (USA) - the need to introduce a system of support for social initiatives in the field of prevention of domestic violence (USA) - the creation on the basis of the National Academy of Sciences of the Republic Kazakhstan Institute for Research on Domestic Violence (Canada); grouping of measures aimed at preventing domestic violence by group affiliation (France); the need to assess the effectiveness of measures applied in the field of prevention of domestic violence (Germany).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.286
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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